Applicable Algebra In Engineering Communication And Computing SCIESCI

Algebra is a common language for many scientific domains. In developing this language mathematicians prove theorems and design methods which demonstrate the applicability of algebra. Using this language scientists in many fields find algebra indispensable to create methods, techniques and tools to solve their specific problems.

Applicable Algebra in Engineering, Communication and Computing will publish mathematically rigorous, original research papers reporting on algebraic methods and techniques relevant to all domains concerned with computers, intelligent systems and communications. Its scope includes, but is not limited to, vision, robotics, system design, fault tolerance and dependability of systems, VLSI technology, signal processing, signal theory, coding, error control techniques, cryptography, protocol specification, networks, software engineering, arithmetics, algorithms, complexity, computer algebra, programming languages, logic and functional programming, algebraic specification, term rewriting systems, theorem proving, graphics, modeling, knowledge engineering, expert systems, and artificial intelligence methodology.

Purely theoretical papers will not primarily be sought, but papers dealing with problems in such domains as commutative or non-commutative algebra, group theory, field theory, or real algebraic geometry, which are of interest for applications in the above mentioned fields are relevant for this journal.

On the practical side, technology and know-how transfer papers from engineering which either stimulate or illustrate research in applicable algebra are within the scope of the journal.

代数是许多科学领域的通用语言。在开发这种语言时，数学家证明了证明代数适用性的定理和设计方法。在许多领域使用这种语言的科学家发现代数对于创建方法、技术和工具来解决他们的特定问题是必不可少的。

Applicable Algebra in Engineering, Communication and Computing 将发表数学严谨的原创研究论文，报告与计算机、智能系统和通信相关的所有领域相关的代数方法和技术。其范围包括但不限于视觉、机器人技术、系统设计、系统的容错和可靠性、VLSI 技术、信号处理、信号理论、编码、错误控制技术、密码学、协议规范、网络、软件工程、算术、算法、复杂性、计算机代数、编程语言、逻辑和函数式编程、代数规范、术语重写系统、定理证明、图形、建模、知识工程、专家系统和人工智能方法。

将不会主要寻求纯理论论文，而是处理诸如交换或非交换代数、群论、场论或实代数几何等领域的问题的论文，这些领域对上述领域的应用很感兴趣与该期刊相关。

在实践方面，工程学的技术和诀窍转移论文可以激发或说明适用代数的研究，都在该期刊的范围内。

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